Python Developer

About Company

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,” They enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like Open AI, Google, Anthropic, and Meta.

Fast API With Python

Location: Pan India

Experience: 5+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiner

• Design, build, and maintain

  Fast API-based services

  for experimentation workflows and simulation environments.
• Collaborate with ML engineers to

  expose APIs

  for training, evaluation, and benchmarking.
• Write efficient, production-grade

  Python code

  with a strong emphasis on scalability and maintainability.
• Troubleshoot performance issues, optimize pipelines, and ensure smooth deployment of applications.

Requirements

• 3+ years

  of professional Python development experience.
• Strong knowledge of

  Fast API

  (or equivalent frameworks like Flask, Django, but Fast API required).
• Experience with

  REST APIs, async programming

  , and API lifecycle management.
• Solid understanding of

  software engineering best practices

  (testing, CI/CD, version control, design patterns).
• Familiarity with

  NumPy, Pandas, and PyTorch/TensorFlow

  is a plus.

• Good to have

  : Exposure to

  Reinforcement Learning environments

  (OpenAI Gym, Gymnasium, Stable Baselines, or custom environments).
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.